Stat 133: Concepts in Computing with Data
UC Berkeley
Offerings
Overview
An introduction to computationally intensive applied statistics. Topics will include organization and use of databases, visualization and graphics, statistical learning and data mining, model validation procedures, and the presentation of results. This course uses R as its primary computing language; details are determined by the instructor.
Logistics
Three hours of lecture and two hours of laboratory per week. Four hours of lecture and three hours of laboratory per week for 10 weeks. Three hours of lecture and two hours of computer laboratory per week. Four hours of lecture and three hours of computer laboratory per week for ten weeks.